Canvas LMS is a powerful open-source platform for managing student classes, assignments, and research tools.
It offers modular design, extensive integration options, and support for modern standards like Learning Tools Interoperability (LTI).
Canvas LMS can be deployed for various purposes, including small groups, research data collection, and development projects.
Self-hosting Canvas LMS becomes essential for leveraging the full capabilities of LTI services like LTI 1.3.
This guide focuses on deploying Canvas LMS on a Kubernetes cluster for individuals setting up their own instance.
Before deployment, foundational components like Docker files and configurations need to be set up for Canvas LMS.
Kubernetes simplifies the orchestration of containerized applications like Canvas LMS, enabling distributed clusters and microservices.
Kompose tool is used to convert Docker-based configurations into Kubernetes manifests for deploying Canvas LMS on Kubernetes.
Deployment components include Deployments, Services, and Persistent Volumes to ensure proper functionality of Canvas LMS.
Troubleshooting common issues like 502 and 503 errors, permission problems, and asset compilation is essential for successful deployment.
By deploying Canvas LMS on Kubernetes, organizations and educators gain full control over their learning management systems, with the ability to self-host and utilize advanced features of LTI 1.3.